JOURNAL OF TIME SERIES ANALYSIS, published by Wiley, is a premier academic journal dedicated to the field of time series analysis, serving as a pivotal resource for researchers, professionals, and students in applied mathematics and statistics. With a strong commitment to advancing scholarly knowledge since its inception in 1980, the journal focuses on innovative methodologies and applications in time series data, highlighting its relevance in various domains, including economics, finance, and environmental studies. Although the journal currently does not offer open access, it maintains a robust reputation, reflected in its 2023 Q1 and Q2 quartile rankings in applied mathematics and statistics, respectively. The contributions published in this journal are instrumental for advancing theoretical frameworks and practical applications in data analysis. Stay informed of cutting-edge research and methodologies by engaging with the JOURNAL OF TIME SERIES ANALYSIS, which is accessible through various academic databases.

Econometrics and Statistics is a premier journal published by Elsevier, dedicated to advancing the fields of Econometrics and Statistics. Since its inception in 2017, this journal has provided a platform for cutting-edge research, bridging theoretical foundations with practical applications to inform data-driven decision-making. With an impressive impact factor and positioned in the Q2 category across Economics, Econometrics, and Statistics in 2023, it ranks among the top-tier journals in its field, ensuring that the published works are recognized for their quality and relevance. The journal encompasses a broad scope that includes statistical methodologies, econometric analysis, and their interconnectedness, making it valuable for a diverse audience of researchers, professionals, and students. Although it operates under a traditional access model, ongoing efforts are being made to explore open-access publishing options to enhance the dissemination of knowledge. The journal's commitment to rigor and innovation solidifies its role in shaping the future of quantitative analysis.

Annals of Actuarial Science, published by Cambridge University Press, stands as a prominent academic journal in the fields of economics, statistics, and actuarial science. With an ISSN of 1748-4995, it features rigorous research aimed at advancing knowledge and practice in areas related to risk management, data analysis, and probability. The journal is recognized for its significant impact, holding a Q2 category ranking in both Economics and Econometrics and Statistics and Probability, along with notable positioning within Scopus rankings. Although it does not currently offer open access, its comprehensive selection of scholarly articles from 2010 to 2024 remains invaluable to researchers, professionals, and students alike, providing insights that drive the actuarial profession and enhance decision-making processes across various sectors. Positioned at the intersection of theoretical innovation and practical application, the Annals of Actuarial Science continues to shape the discourse and development of its disciplines.

PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES is a premier journal published by Cambridge University Press, dedicated to advancing the fields of statistics, probability, and their applications within engineering and informational sciences. With an ISSN of 0269-9648 and an E-ISSN of 1469-8951, this journal has established itself as a significant resource since its inception in 1987, continuing to publish impactful research through 2024. Ranking in the Q2 category for Industrial and Manufacturing Engineering and holding Q3 status in multiple relevant categories, it boasts a respectable impact in academia, reflected in its Scopus rankings across various disciplines. Although not an open-access journal, it remains essential for researchers interested in the integration of probabilistic methods in contemporary engineering challenges. By providing a platform for innovative studies and practical applications, PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES plays a crucial role in shaping future research and methodologies in these overlapping domains, fostering collaboration and knowledge exchange among researchers, professionals, and students alike.

ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, published by SPRINGER HEIDELBERG, is a prestigious academic journal that has played a pivotal role in the field of statistical mathematics since its inception in 1949. With a focus on advancing research in statistics and probability, this journal is ranked in the Q2 quartile for 2023, indicating its significance and impact within the academic community. Researchers and professionals engaged in statistical theory and methodology will find the journal's comprehensive coverage of contemporary issues essential for furthering their work and understanding of the discipline. The journal is accessible in print and digital formats, facilitating wide dissemination of knowledge among its readership. With a history of rigorous peer review and a commitment to high-quality research, the ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS continues to be a vital resource for academics and practitioners alike.

STATISTICS is a distinguished journal published by Taylor & Francis Ltd, dedicated to advancing the field of statistical science since its inception in 1985. With a strong focus on both the theoretical and practical aspects of Statistics and Probability, this journal serves as a vital platform for researchers, professionals, and students seeking to disseminate their findings and contribute to critical discussions in the discipline. Although categorized in the Q3 quartile for both Statistics and Probability and Statistics, Probability and Uncertainty, the journal's commitment to quality research is evidenced by its inclusion in relevant Scopus rankings. It holds respectable positions, ranked #132/168 in Decision Sciences and #219/278 in Mathematics. By providing a venue for high-quality research articles and reviews, STATISTICS aims to foster innovation, reinforce methodological advancements, and address contemporary challenges in statistical applications. The journal does not currently offer open access, but it is widely distributed, ensuring that significant research reaches the communities that need it most. Researchers are encouraged to submit their work to this essential resource that continues to shape the landscape of statistical inquiry.

METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY is a distinguished journal published by SPRINGER, dedicated to advancing research in applied probability and its relationship with various computational methodologies. With an ISSN of 1387-5841 and an E-ISSN of 1573-7713, this journal provides a platform for innovative studies that bridge theory and practical application in the field of mathematics and statistics. Ranking in the Q2 category for Mathematics (miscellaneous) and Q3 for Statistics and Probability as of 2023, it reflects a robust academic discourse, featuring contributions that span a range of methodologies utilized in probability-related studies. The journal's sustained engagement in the academic landscape from 2004 to 2024 puts it at the forefront of ongoing developments in statistics and probability. Researchers, professionals, and students alike will find the insights found within to be invaluable for both theoretical understanding and practical implementation.

The SIAM Journal on Financial Mathematics, published by SIAM PUBLICATIONS, is a premier journal dedicated to the intersection of applied mathematics and finance. With an ISSN of 1945-497X, this journal serves as a vital platform for the dissemination of innovative research that addresses complex financial problems through mathematical modeling and analytical techniques. The journal has established itself within the Q2 quartile in the categories of Applied Mathematics, Finance, and Numerical Analysis, reflecting its influence and significance in these fields. Researchers and practitioners will find a wealth of knowledge spanning topics from stochastic calculus to quantitative finance, making it essential for anyone aiming to advance their understanding of financial mathematics. As the journal continues to converge from 2010 to 2024, it promises to remain a cornerstone resource for academics, professionals, and students alike, facilitating the ongoing dialogue between mathematics and its applications in the financial industry.

QUANTITATIVE FINANCE, published by Routledge Journals, Taylor & Francis Ltd, stands at the forefront of academic research in the dynamic fields of finance, economics, and econometrics. With a strong commitment to disseminating cutting-edge research, this esteemed journal, which has been published since 2001 and continues to thrive with an anticipated convergence until 2024, occupies a prestigious Q1 ranking in Economics, Econometrics, and Finance and a Q2 ranking in Finance as of 2023. It serves as an essential platform for interdisciplinary studies, aiming to bridge theoretical approaches and practical applications in quantitative methods. Researchers, professionals, and students are provided access to a wealth of high-quality articles that contribute to the ongoing discourse and advancements in these fields. As the journal continues to impact its community, QUANTITATIVE FINANCE remains an invaluable resource for those seeking to stay at the cutting edge of financial research and its applications globally.

STATISTICS & PROBABILITY LETTERS is a distinguished journal published by ELSEVIER, dedicated to advancing the field of statistics and probability. With an ISSN of 0167-7152 and an E-ISSN of 1879-2103, this journal is an essential platform for research, featuring cutting-edge studies and significant findings in the realms of statistical theory and applied probability. The journal operates under a notable Q3 ranking in both the categories of Statistics and Probability, and Statistics, Probability and Uncertainty for 2023, underscoring its relevance in these fields. Researchers, professionals, and students alike benefit from its rigorous peer-review process and its commitment to published integrity, fostering innovative insights from 1982 through its anticipated convergence in 2025. While it does not offer open access, the journal’s widely recognized impact within the academic community makes it a valuable resource for anyone seeking to deepen their understanding of statistical methodologies and probabilistic models.